Kumar Vemaganti
- Mechanics of Materials top 2%
- Computational Theory and Mathematics top 2%
- Computational Mechanics top 5%
- Biomedical Engineering
- Civil and Structural Engineering top 10%
- Co-authors
- J. Tinsley OdenEsra RoanSandeep MadireddyNicolas MoësPhilip R. BuskohlAndrew GillmanYuhong FuGregory J. Rodin
- Topics
- Advanced Mathematical Modeling in Engineering (11 papers)Composite Material Mechanics (9 papers)Elasticity and Material Modeling (9 papers)
- Cited by
- Mechanics of MaterialsComputational Theory and MathematicsStatistics, Probability and Uncertainty
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringInternational Journal for Numerical Methods in Engineering
- Partner nations
- United States
In The Last Decade
Kumar Vemaganti
44 papers receiving 918 citations
Peers
Comparison fields: 5 of 84
- Mechanics of Materials 494
- Computational Theory and Mathematics 281
- Computational Mechanics 256
- Biomedical Engineering 211
- Civil and Structural Engineering 145
Countries citing papers authored by Kumar Vemaganti
This map shows the geographic impact of Kumar Vemaganti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kumar Vemaganti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Vemaganti more than expected).
Fields of papers citing papers by Kumar Vemaganti
This network shows the impact of papers produced by Kumar Vemaganti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kumar Vemaganti. The network helps show where Kumar Vemaganti may publish in the future.
Co-authorship network of co-authors of Kumar Vemaganti
This figure shows the co-authorship network connecting the top 25 collaborators of Kumar Vemaganti. A scholar is included among the top collaborators of Kumar Vemaganti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kumar Vemaganti. Kumar Vemaganti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 38 | |
| 12 | 73 | |
| 13 | 21 | |
| 14 | 22 | |
| 15 | 3 | |
| 16 | 74 | |
| 17 | 13 | |
| 18 | 7 | |
| 19 | 167 | |
| 20 | 85 |
About Kumar Vemaganti
Kumar Vemaganti is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Mechanics of Materials, having authored 45 papers that have together received 964 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (11 papers), Composite Material Mechanics (9 papers) and Elasticity and Material Modeling (9 papers). The work is most often cited by research in Mechanics of Materials (494 citations), Computational Theory and Mathematics (281 citations) and Statistics, Probability and Uncertainty (90 citations). Kumar Vemaganti has collaborated with scholars based in United States. Frequent co-authors include J. Tinsley Oden, Esra Roan, Sandeep Madireddy, Nicolas Moës, Philip R. Buskohl, Andrew Gillman, Yuhong Fu, Gregory J. Rodin, Robert A. Geijn and James C. Browne. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.